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Record W2542502079 · doi:10.1109/icm.2012.6471386

Modeling CMOS PIN photodiode using COMSOL

2012· article· en· W2542502079 on OpenAlexafffund
Mohamad Hamady, Ehsan Kamrani, Mohamad Sawan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Optical Sensing Technologies
Canadian institutionsPolytechnique Montréal
FundersCanadian Institutes of Health Research
KeywordsMultiphysicsAvalanche photodiodePhotodiodeCMOSQuantum tunnellingElectric fieldSemiconductor device modelingSemiconductor deviceOptoelectronicsSiliconComputer scienceSemiconductorField (mathematics)Electrical engineeringElectronic engineeringMaterials sciencePhysicsEngineeringNanotechnologyFinite element methodDetector

Abstract

fetched live from OpenAlex

Modeling semiconductor devices has become mandatory in most challenging research activity. Finding a powerful tool that models these devices represents a goal of these users. In this work, Silicon PIN photodiode is designed using complementary metal-oxide semiconductor (CMOS) Technology. COMSOL Multiphysics is the selected challenging tool for simulation and characterization of this design. The adjustment of the proposed model as well as the different outputs like Electric field and Electric potential distribution, I–V characteristics and other parameters are presented. The output current has shown an allure of a current that consists of three regions: Trap-Assisted Tunneling, Band-to-Band Tunneling and avalanche. These current regions in addition to the high value (105V/cm) of the obtained electric field are typical for Silicon Avalanche Photodiodes (SiAPD). The possibility to use this tool for SiAPD analysis and simulation is therefore discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.298
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2012
Admission routes2
Has abstractyes

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